← All roles

Senior/Staff FDE - CUA

Snorkel AI· 310 - DaaS FDE
Apply on company site
Hybrid (New York City, NY), Hybrid (San Francisco, CA)$180k - $320kfull-timePosted 1mo ago

About the role

Forward Deployed Engineer focused on Computer Use Agents partnering with AI labs and enterprises to execute complex agentic-AI engagements, translating product challenges into robust task environments, data, evaluators, and delivery plans across the full delivery lifecycle.

Responsibilities

  • Design and build task environments, datasets, and evaluation workflows for computer-using agents operating across browsers, desktop applications, terminals, and other software interfaces
  • Translate customer goals, agent failure modes, and real-world workflows into representative, multi-step tasks with clear success criteria
  • Develop data-generation, validation, and quality-assurance pipelines for multimodal and agentic training and evaluation data
  • Build automated evaluators, checks, and measurement frameworks to assess task completion, correctness, robustness, efficiency, and adherence to requirements
  • Diagnose agent failures across planning, tool use, perception, state management, and interaction with user interfaces; turn findings into improved tasks, data, and evaluations
  • Design and run experiments to measure how data, task design, and evaluation changes affect downstream agent performance
  • Deliver reusable, production-grade task suites, datasets, and evaluation assets that help customers train, benchmark, and improve computer-use agents
  • Lead technical workstreams from initial solution design through production delivery, navigating ambiguity and making sound technical decisions
  • Build, refine, and iterate on solutions that address customer needs, incorporating feedback to ensure the delivered work provides tangible value
  • Rapidly prototype and productionize solutions across models, agent frameworks, APIs, browser or desktop environments, and custom applications
  • Communicate technical tradeoffs, experimental results, and recommendations clearly to technical and cross-functional stakeholders
  • Serve as a trusted technical partner to customers and internal delivery teams, resolving complex blockers and driving alignment
  • Identify recurring patterns across customer engagements and turn successful solutions into reusable task frameworks, evaluators, tooling, and best practices
  • Define and improve technical standards for agent task design, environment reliability, evaluation, and delivery
  • Partner with DaaS Engineering, Research, and Product teams to influence platform and product capabilities based on real-world customer needs
  • Lead technical design reviews, share expertise, and provide guidance to other engineers
  • Stay current with emerging agentic-AI, computer-use, evaluation, and data-curation techniques and assess their applicability to customer problems

Qualifications

  • 5+ years of experience in machine learning engineering, software engineering, applied AI, forward deployed engineering, solutions engineering, or a similar technical role
  • Strong Python skills and experience building reliable production software, data, or ML systems
  • Hands-on experience building, evaluating, or deploying LLM-based or agentic systems, including computer-use agents (CUA)
  • Strong understanding of experimentation and evaluation, including LLM-as-a-judge / model-based evaluation, defining metrics, and using empirical results to guide technical decisions
  • Experience designing task environments, datasets, and verifiers for agents, including reward & verifier design (RL with verifiable rewards)
  • Experience building or working with APIs, automation, web applications, browser-based systems, desktop applications, or developer tools
  • Experience manipulating, analyzing, and validating large or complex datasets using Python and the modern GenAI/LLM stack
  • Demonstrated ability to take ambiguous technical problems from problem definition through implementation and delivery
  • Strong technical communication skills and experience working directly with customers or cross-functional stakeholders
  • Demonstrated experience setting technical direction, creating reusable approaches across projects, and influencing broader engineering or product decisions

Skills

Required:PythonLLM-based / agentic systemsExperimentation and evaluation

Benefits

  • Equity and benefits (typical in offers)
Last updated Sep 30, 2026. Interested? Apply on the company site.

About Snorkel AI

Shaping how AI learns through better data

Snorkel AI delivers the highest quality specialized datasets for frontier LLMs and enterprise models.

AI data development servicesAboutApplied AI solutionsCareersCompanyContact usCustomer storiesData development services
Company profileWebsite

More open roles at Snorkel AI